Image transformation method and apparatus
AssigneeCanon Medical Systems Corporation
InventorJoseph Henry
Life of this patent
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Abstract
A medical image processing apparatus comprises processing apparatus configured to: receive CT (computed tomography) image data acquired using a first scan setting; input the CT image data to an adapter to obtain corrected CT image data, wherein the adapter is configured to transform a first image style of the CT image data acquired using the first scan setting to a second, different image style that is characteristic of CT image data acquired using a second scan setting that is different from the first scan setting; and output the corrected CT image data.
Claims18
A medical image processing apparatus, comprising:
- processing circuitry configured to:
- receive computed tomography (CT) image data acquired using a first scan setting, wherein the CT image data comprises 3D scanogram data;
- input the CT image data to an adapter to obtain corrected CT image data, wherein the adapter is configured to transform a first image style of the CT image data acquired using the first scan setting to a second, different image style that is characteristic of CT image data acquired using a second scan setting that is different from the first scan setting, wherein the second scan setting corresponds to that of a non-contrast CT scan which is used for subtraction with CT angiography image data;
- and
- output the corrected CT image data,
- wherein the processing circuitry is further configured to perform a subtraction of the corrected CT image data and the CT angiography image data.
A method, comprising:
- receiving computed tomography CT image data acquired using a first scan setting, wherein the CT image data comprises 3D scanogram data;
- inputting the CT image data to an adapter to obtain corrected CT image data, wherein the adapter is configured to transform a first image style of the CT image data acquired using the first scan setting to a second, different image style that is characteristic of data acquired using a second scan setting that is different from the first scan setting, wherein the second scan setting corresponds to that of a non-contrast CT scan which is used for subtraction with CT angiography image data;
- and
- outputting the corrected CT image data,
- wherein the method further comprises performing a subtraction of the corrected CT image data and the CT angiography image data.
A medical image processing apparatus, comprising:
- processing circuitry configured to:
- receive training data representative of a plurality of subjects, wherein the training data comprises, for each subject, CT image data acquired using a first scan setting, wherein the CT image data comprises 3D scanogram data, and corresponding CT image data acquired using a second, different scan setting, wherein the second scan setting corresponds to that of a non-contrast CT scan which is used for subtraction with CT angiography image data;
- and
- train an adapter to transform a first image style of the CT image data acquired using the first scan setting to a second, different image style that is characteristic of CT image data acquired using the second scan setting,
- wherein the training of the adapter comprises using a first loss based on anatomical structure and a second loss based on image intensity.
A method, comprising:
- receiving training data representative of a plurality of subjects, wherein the training data comprises, for each subject, CT image data acquired using a first scan setting, wherein the CT image data comprises 3D scanogram data, and corresponding CT image data acquired using a second, different scan setting, wherein the second scan setting corresponds to that of a non-contrast CT scan which is used for subtraction with CT angiography image data;
- and
- training an adapter to transform a first image style of the CT image data acquired using the first scan setting to a second, different image style that is characteristic of CT image data acquired using the second scan setting,
- wherein the training of the adapter comprises using a first loss based on anatomical structure and a second loss based on image intensity.
Dependencies are inferred from the claim text.